3.1 CD38+CD8+T cell divided into CD38hi and CD38int subsets in human lung cancer
Firstly, to explore the role of CD38 in regulating T cell functionality, we carried out flow cytometry (FCM) analysis to identify CD38+CD8+T cells in lung cancer prior to any therapy. The baseline characteristics of the 42 patients with lung cancer are summarized in Table 1. Briefly, the median age was 67 years (range, 54–87 years), and histological analysis revealed 24 squamous cell carcinomas, 11 adenocarcinomas, and 7 small cell carcinomas.
As shown in Fig. 1a, the CD38 positive-CD8+T cells were commonly and prominently displayed as the two clusters, which were stratified as follows: cells with stronger CD38 expression (defined as CD38hi cells), cells with median CD38 expression (defined as CD38int cells). As shown in Fig. 1b, it was found that the percentages of infiltrated CD38hiCD8+T cells, CD38intCD8+T cells and CD38 negetive-CD8+T cells (CD38negCD8+T cells) were comparable among lung cancer patients of different genders (37.05 ± 4.13% vs 32.92 ± 7.95%, 53.74 ± 7.04% vs 56.27 ± 2.53%, 7.39 ± 4.03% vs 9.46 ± 2.08%, p > 0.05, respectively), ages (29.02 ± 4.63% vs 40.11 ± 3.41%, 60.91 ± 3.87% vs 50.74 ± 3.06%, 7.91 ± 2.05% vs 7.53 ± 1.92%, p > 0.05, respectively). Meanwhile, the percentages of infiltrated CD38hi/CD38int/CD38negCD8+T cells were also comparable among lung cancer of different pathologic types (NSCLC vs SCLC: 37.07 ± 3.15% vs 32.80 ± 6.81%, 50.71 ± 3.05% vs 59.10 ± 7.56%, 8.34 ± 1.56% vs 4.75 ± 1.76%, p > 0.05; Adeno vs Squamous: 29.24 ± 6.21% vs 40.48 ± 3.48%, 59.71 ± 4.73% vs 50.40 ± 3.09%, 8.12 ± 2.33% vs 8.37 ± 2.18%, p > 0.05).
3.2 Regional profile of CD38hi/CD38intCD8+ T cells in lung cancer microenvironments
To gain a more in-depth understanding of CD38 expression, we further investigated the infiltrated CD38hi/CD38intCD8+ T cell within distinct regions of tumor tissue. Superficial and intratumoral biopsy were used to sampled peripheral and central lung cancer tissue respectively (Fig. 2a). As shown in Fig. 2b, the ratio of CD38hiCD8+T cells in the peripheral TME was greater than that in the central TME (43.89 ± 2.72% vs 20.88 ± 3.39%, p < 0.0001), while the ratio of CD38intCD8+T cells in the peripheral TME was lower than that in the central TME (48.30 ± 2.66% vs 68.96 ± 4.52%, p < 0.0001).
To further confirm above findings, tumor sections of lung cancer were stained with anti-CD8 and anti-CD38 mAb, subsequently quantified by immunofluorescent microscope. As is shown in Fig. 2c, the data again indicated that the density of tumoral CD38+CD8+ T cells was higher in the peripheral TME than that in the central TME, which is similar with the result of flow cytometry. All findings demonstrated that CD38hiCD8+T cells and CD38intCD8+T cells displayed significant regional distribution, which suggested that the shift between CD38hiCD8+T cells and CD38intCD8 + T cells was involved in the TME heterogeneity.
3.3 Tumoral CD38hiCD8 + T cells harbor more impaired mitochondria
NAD(H) and NADP(H) have traditionally been viewed as co-factors (or co-enzymes) involved in a myriad of oxidation-reduction reactions including the electron transport in the mitochondria[15]. Considering CD38 is a key NAD(H)-dependent enzyme which breaks down NAD(H) to cyclic ADP-ribose (ADPR) and nicotinamide (NAM, vitamin B3), we examined mitochondrial mass, membrane potential, mitochondrial Ca2+ and reactive oxygen species level in CD38hi/CD38intCD8+T cells using the four indicators: MTG, TMRE, Rhod-2, and Mito SOX, respectively (Fig. 3). We observed that CD38hiCD8+T cells have lower MTG expression compared to its CD38int and CD38neg counterparts (59.81 ± 3.13% vs 71.78 ± 3.38% vs 78.40 ± 3.71%). The TMRE expression was decreased in CD38hiCD8+T cells (29.88 ± 3.43% vs 40.37 ± 4.30% vs 51.96 ± 5.01%). Increased Rhod-2 (70.68 ± 6.01% vs 59.24 ± 5.95% vs 45.34 ± 7.95%) and MitoSOX (60.66 ± 5.01% vs 44.43 ± 5.41% vs 29.36 ± 3.88%) was also observed in tumor-infiltrating CD38hiCD8 + T cells. These data supported dysfunctional mitochondrial in CD38hiCD8+ T cells compared with those responding CD38intCD8+ T cell and CD38negCD8+T cell, with evidence of defective function and compromised activity.
3.4 CD38hiCD8+T cells displayed a more exhausted phenotype
PD-1 was well-known as an essential checkpoint molecule and widely used to define T cell exhaustion. To further explore the correlation of CD38 expression with those well-defined T cell exhaustion markers, we analyzed the expression of PD-1 in tumor-infiltrating CD38hiCD8+ T cells and CD38intCD8+T cells by flow cytometry (Fig. 4a). As shown in Fig. 4b, CD38hiCD8+T cells expressed much higher level of PD-1, compared to their CD38int counterparts (43.82 ± 2.68% vs 31.89 ± 2.21%, p < 0.01). Also, it was demonstrated this consistent pattern of PD-1 expression existed within both peritumoral (46.95 ± 43.52% vs 33.29 ± 32.59%, p < 0.05) and intratumoral compartments (46.70 ± 5.91% vs 28.73 ± 4.80%, p < 0.05).
Furthermore, we used Pearson’s correlations to examine the relationship between infiltrated CD38+CD8+T cells and PD-1+CD8+T cells in lung cancer TME. As shown in Fig. 4d, there is a strong positive relationship between infiltrated CD38hiCD8+T cells and PD-1+CD8+T cells in all cases (r = 0.3724, p < 0.01). However, this inherent characteristic was only noticed in peripheral rather than central TME. These observations suggested that CD38hiCD8+T cells not only constitute the majority of PD-1 expressing exhausted T cell subset, but complemented as a specific subset of exhausted CD8+ T cells in whole TME.
3.5 Peripheral TME located CD38hiCD8+T cell predicted clinic response to anti-PD-1 therapy in NSCLC
Of the total cases studied, 24 patients were administered anti-PD-1 therapy. Guided by the preceding data, we subsequently delved into whether the quantification of CD38hiCD8+T cells across various regions could emerge as a predictive biomarker for the response to anti-PD-1 therapy. Initially, our analysis revealed that responders exhibited a significantly elevated level of CD38hiCD8+T cells in the peripheral TME compared to non-responders (52.15 ± 3.28% versus 35.55 ± 5.10%, P ≤ 0.01). However, regarding the central TME located CD38hiCD8+T cell, no significant difference was observed between responders and non-responders (21.08 ± 5.48% versus 19.34 ± 4.81%, P > 0.05) (Fig. 5a).
Consistent with above findings, the ROC analysis depicted in Fig. 5b underscored the robust association between the proportions of peripheral TME located CD38hiCD8+T cells and the response status. In detail, the optimal cut-off value for these CD38hiCD8+T cell proportion was determined to be 49.95%. This cut-off point achieved remarkable accuracy (88.89%), specificity (100%), sensitivity (75%), along with a good diagnostic performance (AUC = 0.9375). Conversely, considering the central TME located CD38hiCD8+T cell level to responding clinic response, the cut-off of 12.30% only yielded an accuracy of 72.73%, specificity of 85.71%, and sensitivity of 66.67%, while the corresponding AUC in the ROC curve was 0.7143. These findings collectively suggest that the fraction of CD38hiCD8+T cells within the peripheral TME holds a stronger potential as a biomarker for predicting post-therapeutic outcomes.
3.6 Higher CD38hiCD8+T cell located in peripheral TME represented deeper response to anti-PD-1 therapy
Next, the percentage change from baseline regarding the sum of target lesion diameters for each patient was used to generate waterfall plots (Fig. 6a). In eight out of nine responders, the proportion of CD38hiCD8+T cells located in peripheral TME exceeded the defined cut-off value (**P < 0.01), Also, as depicted in Fig. 6b, a higher infiltration of CD38hiCD8+T cells in the peripheral TME corresponded to a deeper clinical regression upon anti-PD-1 therapy (r=-0.6603, P < 0.05). Conversely, no such correlation was noted in the CD38hiCD8+T cells located in central TME (r = 0.0456, P > 0.05). These findings further emphasize the significant potential of the CD38hiCD8+T cell fraction in the peripheral TME as a biomarker for predicting post-therapeutic outcomes.
3.7 PD-1 blockade decreased the level of CD38hiCD8+T cell in vitro
To visualize that the immunotherapy effect is indeed better in patients with higher CD38hi expression, we stimulated single cells isolated from human lung cancer tissues with anti-PD-1 mAb in vitro for 72h to mimic clinic setting and carried out FCM analysis (Fig. 7a). As shown in Fig. 7b, anti-PD-1 significantly reduced the expression of CD38 on CD8+T cells, resulting in a significant decrease in the ratio of CD38hiCD8+ T cells (p < 0.05), whereas no significant change of CD38intCD8+T cells level (p > 0.05). Interestingly, more PD-1 mAb treatment-mediated depletion of CD38hiCD8+T cells in vitro was observed in subject with higher CD38hiCD8+T cells (Fig. 7c, r = 0.9041, P < 0.01). These data supported that the decrease of CD38hiCD8+T cells mediated by PD-1 blockade favored effective anti-tumor immunotherapy, and CD38hiCD8+T cells could be the target cells of ICB.
3.8 Analysis of CD38hiCD8+T cells in ICIs-resistant lung cancer model
To further validate our previous conclusions, we constructed a ICIs-resistant lung cancer model and analyzed corresponded TME. Similarly, mouse CD38+CD8+T cells were also prominently displayed as the two clusters (Fig. 8a). Meanwhile, stronger compromised mitochondrial quality and activity was also observed in tumor‑infiltrating CD38hiCD8+T cells, which was consisted with findings in human experiments (Fig. 8b).
3.9 Involvement of altered CD38hiCD8+cells in reverse of immunotherapy resistance to PD-L1mAb
Epigallocatechin gallate (EGCG), the main constituent of green tea catechins, has proven its role in cancer management through modulating various mitochondrial metabolism pathways such as mitochondrial biogenesis, mitochondrial bioenergetics, mitochondria-mediated cell cycle and apoptosis. [16, 17]. Next, to explore whether the resistance to anti-PD-L1 mAb could be restored by intervening on CD38hi/CD38intCD8+T cells, we co-administered EGCG and anti-PD-L1 mAb to ICIs-resistant lung cancer model (Fig. 9a). As shown in Fig. 9b, treatment with EGCG or anti-PD-L1 mAb only partially inhibited the growth of tumors (P > 0.05), but more potent inhibition of tumor growth in mice was seen in the group treated with combinatorial therapy (P < 0.0001). Furthermore, mice treated with both EGCG and anti-PD-L1 mAb experienced the greatest survival benefit as compared to the others group (P < 0.0001, Fig. 9c).
To understand the impact of this therapy on the tumor microenvironment and determinate cell populations that contributed to delayed tumor growth and survival in treated mice, we analyzed TILs by flow cytometry. Alone anti-PD-L1 mAb or EGCG treatment had weekly effect on the ratio of infiltrating CD38hiCD8+T cells, whereas the infiltrated degree of CD38hiCD8+T cells was obviously decreased in the combinatorial treated groups (P < 0.0001, Fig. 9d). Notably, there was no difference between combinatorial therapy and other groups in terms of the ratio of infiltrating CD38intCD8+T cells and CD38negCD8+T cells (P > 0.05). These results indicated that altered CD38hiCD8+T cells plays a direct role in reverse of immunotherapy resistance to PD-L1mAb.
3.10 Dual therapy improved mitochondrial by tumoral CD38hiCD8+T cells
Having established the selective alteration in the quantity of tumoral CD38hiCD8+T cells, we next determined whether the enhanced tumor control ability following combination therapy is also influenced by the function of CD38hiCD8+T cells. Given mitochondrial translation selectively regulates the expression of a subset of proteins, including those involved in the cytotoxic T lymphocyte killer response, we examined mitochondria of CD38hiCD8+T cells. Of note, as judged by expression of MTG, TMRE, Rhod-2 and Mito SOX (Fig. 10a-d), alone EGCG or anti-PD-L1 had no significant impact on mitochondrial activity in CD38hiCD8+T cells (p > 0.05), only combination therapy improved mitochondrial metabolic activity of these CD8+T subset (*p < 0.001, **p < 0.0001, ***p < 0.001, **** p < 0.0001). Instead, combination therapy didn’t impact the mitochondrial activity by tumoral CD38int/CD38loCD8+T cells (p > 0.05). It was again indicated that the specially altered mitochondrial in CD38hiCD8+ T cells might participate in reversing a therapeutic resistance for ICB.
3.11 Increase of IFN-γ secretion is accompanied by mitochondrial improvement in CD38hiCD8+T cells
Naturally, it was found that the IFN-γ secretion in the fully activated condition induced by PMA and Ionomycin by CD38hiCD8+T cells was significantly decreased compared with CD38intCD8+T cells and CD38negCD8+T cells (9.20 ± 1.93% vs 12.95 ± 1.97% vs 16.89 ± 2.51%), which means that CD38hi marked a specific subset of CD8+ T cells with dysregulated cytotoxicity (Fig. 11a). However, it was revealed no significant correlation between the level of IFN-γ and expression of TMRE, Rhod-2 and Mito SOX by naïve CD38hi/CD38intCD8+T cells (P > 0.05, Fig. 11b).
By expanding data in vivo, dual therapy substantially increased the ability of IFN-γ secretion of CD38hiCD8+T cells rather than monotherapy (Fig. 11c). Correspondingly, inherent linearity between improved mitochondrial metabolism and favorable IFN-γ secretion was only found in CD38hiCD8+T cells from dual therapy group (Fig. 11d). These data provided evidence again that CD38hiCD8+T cell is closely associated ICB mediated anti-tumor immunity, particularly on its altered mitochondrial activity, which serves a mechanistic role in rendering anti-PD-1 therapeutic resistance.